SAS Analytics for IoT
Get fast, scalable outcomes from your IoT data – from predictive maintenance at scale to superior process optimization and quality, flood prediction and preparedness, energy cost optimization and beyond.
Get to know SAS Analytics for IoT
SAS Viya is cloud-native and cloud-agnostic
Consume SAS how you want – SAS managed or self-managed. And where you want.
Key features
A powerful IoT analytics solution with embedded AI and industry-leading streaming capabilities.
Sensor-based data model
Integrates large volumes of real-time and historical IoT data, hierarchies and other relationships for efficient analysis. Provides a single version of the data for users across the organization.
Unified, business-focused data selection & launchers
Provides an intuitive interface that lets nontechnical users quickly prepare, organize, select and launch data without having to know the underlying technology and data structure.
Out-of-the-box, extensible ETL
Automatically transforms and loads key data fields into the data model in real time or batch. Lets you integrate additional field and production quality data with your sensor data.
Data profiles & explorations
Summarizes huge volumes of high-frequency data to understand where data is being collected and what's available for analysis. Reduces millions of sensor and event records to a manageable size, and visualizes them while maintaining relationships and patterns in the data.
Open APIs
Surfaces data selections and launchers in SAS or third-party applications and lets you access SAS capabilities from your preferred coding environment – SAS, Python, R, Java, Lua or Scala.
Advanced analytics & embedded AI
Combines data exploration, feature engineering and modern statistical, data mining, machine learning and AI techniques in a single, scalable in-memory distributed processing environment.
Event stream processing
Analyzes and filters streaming data by processing huge volumes at very high rates with extremely low latency so you can understand events while they're happening and decide which data to keep for future analysis.
Support for the IoT analytics life cycle
Supports analytics throughout your IoT infrastructure – from the central hub, data center or cloud all the way to the edge, and at any point in between. Simplifies data complexity across the analytics life cycle, from data, to discovery, to deployment.
Cloud native
Compatible with cloud technologies – including Docker and Kubernetes – for large-scale, elastic, multitenant, distributed services, and is ready-made to take advantage of the large volumes of data generated by the industrial internet of things (IIoT).
Custom analysis framework
Provides a low-code user interface for administrators to create site-specific analysis templates that expand the out-of-the-box analytic capabilities. Lets you integrate SAS, Python, R and other code into the standard analysis process.
Stability monitoring
Builds analytic models based on stable periods of typical operation of a monitored asset. Compares those models of predicted behavior to actual behavior of assets over time and generates alerts of anomalous behavior.
![Industrial Iot Product of the Year 2023 Industrial IoT Product of the Year 2023 Award Logo](https://www.sas.com/cs_cz/software/analytics-iot/_jcr_content/par/styledcontainer_9ea7/par/styledcontainer_copy_2133621183/par/image_copy.img.jpg/1681755373835.jpg)
SAS was named a winner of the 2023 IoT Evolution Industrial IoT Product of the Year Award
![IoT Evolution Award IoT Evolution Award Product of the Year 2024 Logo](https://www.sas.com/cs_cz/software/analytics-iot/_jcr_content/par/styledcontainer_9ea7/par/styledcontainer/par/image.img.png/1721403421657.png)
SAS was named a winner of the 2024 IoT Evolution Product of the Year Award by IoT Evolution World